Cargando…
Computer-aided diagnosis of prostate cancer based on deep neural networks from multi-parametric magnetic resonance imaging
Objectives: To evaluate a new deep neural network (DNN)–based computer-aided diagnosis (CAD) method, namely, a prostate cancer localization network and an integrated multi-modal classification network, to automatically localize prostate cancer on multi-parametric magnetic resonance imaging (mp-MRI)...
Autores principales: | Yi, Zhenglin, Ou, Zhenyu, Hu, Jiao, Qiu, Dongxu, Quan, Chao, Othmane, Belaydi, Wang, Yongjie, Wu, Longxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465082/ https://www.ncbi.nlm.nih.gov/pubmed/36105290 http://dx.doi.org/10.3389/fphys.2022.918381 |
Ejemplares similares
-
Emerging Biomarkers for Predicting Bladder Cancer Lymph Node Metastasis
por: Zhang, Chunyu, et al.
Publicado: (2021) -
Recurrence factors in patients with Keratinizing squamous metaplasia of the bladder after surgical management: a single-center retrospective study
por: Yi, Zhenglin, et al.
Publicado: (2021) -
Effects of Fibrin Clot Inhibitors and Statins on the Intravesical Bacille Calmette–Guérin Therapy for Bladder Cancer: A Systematic Review and Meta-Analysis
por: Cai, Zhiyong, et al.
Publicado: (2021) -
N(6)-Methyladenosine in Cancer Immunotherapy: An Undervalued Therapeutic Target
por: Quan, Chao, et al.
Publicado: (2021) -
Filling the gaps in the research about second primary malignancies after bladder cancer: Focus on race and histology
por: Othmane, Belaydi, et al.
Publicado: (2022)